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Particle Filters for Random Set Models

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Abstract

This chapter is devoted to two tracking problems where random set models are particularly useful, because they offer elegant solutions unmatched by the standard approaches.

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Authors and Affiliations

  1. DSTO, Lorimer Street 506, 3207, Port Melbourne, Australia

    Branko Ristic

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  1. Branko Ristic
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Correspondence to Branko Ristic .

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Ristic, B. (2013). Advanced Topics. In: Particle Filters for Random Set Models. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6316-0_7

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  • DOI: https://doi.org/10.1007/978-1-4614-6316-0_7

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6315-3

  • Online ISBN: 978-1-4614-6316-0

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